Welcome to Yuwei Luo's Homepage
I am a fourth-year Ph.D. student in Operations, Information & Technology at Stanford Graduate School of Business. I am fortunate to be advised by Prof. Mohsen Bayati.
I received my M.S. degree in Statistics at University of Chicago. and B.S. degree in Mathematics and Applied Mathematics at School of the Gifted Young, University of Science and Technology of China (USTC).
Research Interest
My research interest broadly lies in reinforcement learning, optimization, bandits, experiment design, causal inference, and generative modeling.
Publications/ Preprints
Dynamic Regret Minimization for Control of Non-stationary Linear Dynamical Systems [paper]
Yuwei Luo, Varun Gupta, Mladen Kolar
SIGMETRICS 2022 / Proceedings of the ACM on Measurement and Analysis of Computer Systems 6(1)
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees [paper]
Sen Na, Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
International Conference on Machine Learning (ICML), 2020
Geometry-Aware Approaches for Balancing Performance and Theoretical Guarantees in Linear Bandits [preprint]
Yuwei Luo, Mohsen Bayati
Nesterov's Accelerated Gradient Method and Sprays on Manifolds [working paper]
Yuwei Luo, Tingran Gao, Lek-Heng Lim
Natural Actor-Critic Converges Globally for Hierarchical Linear Quadratic Regulator [preprint]
Yuwei Luo, Zhuoran Yang, Zhaoran Wang, Mladen Kolar
Education
Ph.D. in Operations, Information & Technology, Stanford University Graduate School of Business, 09/2020 - Present
M.S. in Statistics, The University of Chicago, 09/2018 – 03/2020
B.S. in Mathematics and Applied Mathematics, University of Science and Technology of China, 09/2014 – 07/2018
Contact
Email: yuweiluo [at] stanford.edu